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  Understanding neural population coding: information-theoretic insights from the auditory system

Onken, A., Karunasekara, P., Kayser, C., & Panzeri, S. (2014). Understanding neural population coding: information-theoretic insights from the auditory system. Advances in Neuroscience, 2014: 907851, pp. 1-14. doi:10.1155/2014/907851.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-7FC7-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-2771-4
Genre: Journal Article

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Onken, A, Author
Karunasekara, PPCR, Author
Kayser, C1, 2, Author              
Panzeri, S, Author              
Affiliations:
1Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497808              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: In recent years, our research in computational neuroscience has focused on understanding how populations of neurons encode naturalistic stimuli. In particular, we focused on how populations of neurons use the time domain to encode sensory information. In this focused review, we summarize this recent work from our laboratory. We focus in particular on the mathematical methods that we developed for the quantification of how information is encoded by populations of neurons and on how we used these methods to investigate the encoding of complex naturalistic sounds in auditory cortex. We review how these methods revealed a complementary role of low frequency oscillations and millisecond precise spike patterns in encoding complex sounds and in making these representations robust to imprecise knowledge about the timing of the external stimulus. Further, we discuss challenges in extending this work to understand how large populations of neurons encode sensory information. Overall, this previous work provides analytical tools and conceptual understanding necessary to study the principles of how neural populations reflect sensory inputs and achieve a stable representation despite many uncertainties in the environment.

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 Dates: 2014-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.1155/2014/907851
BibTex Citekey: OnkenKKP2014
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Title: Advances in Neuroscience
Source Genre: Journal
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Pages: - Volume / Issue: 2014 Sequence Number: 907851 Start / End Page: 1 - 14 Identifier: -